Abstract

BackgroundManaging demand for services is a problem in many areas of healthcare, including specialist medical outpatient clinics. Some of these clinics have long waiting lists with variation in access for referred people. A model of triage and appointment allocation has been developed and tested that has reduced waiting times by about a third in community outpatient services. This study aims to determine whether the model can be applied in the setting of a specialist medical outpatient clinic to reduce wait time from referral to first appointment.MethodsA pre-post study will collect data before and after implementing the Specific Timely Appointments for Triage (STAT) model of access and triage. The study will incorporate a pre-implementation period of 12 months, an implementation period of up to 6 months and a post STAT-implementation period of 6 months. The setting will be the epilepsy clinic at a metropolitan health service in Melbourne. Included will be all people referred to the clinic, or currently waiting, during the allocated periods of data collection (total sample estimated n = 975). Data routinely collected by the health service and qualitative data from staff will be analysed to determine the effects of introducing the STAT model. The primary outcome will be wait time, measured by number of patients on the wait list at monthly time points and the mean number of days waited from referral to first appointment. Secondary outcomes will include patient outcomes, such as admission to hospital while waiting, and service outcomes, including rate of discharge. Analysis of the primary outcome will include interrupted time series analysis and simple comparisons of the pre and post-implementation periods. Process evaluation will include investigation of the fidelity of the intervention, adaptations required and qualitative analysis of the experiences of clinic staff.DiscussionPrompt access to service and optimum patient flow is important for patients and service providers. Testing the STAT model in a specialist medical outpatient clinic will add to the evidence informing service providers and policy makers about how the active management of supply and demand in health care can influence wait times. The results from this study may be applicable to other specialist medical outpatient clinics, potentially improving access to care for many people.

Highlights

  • Managing demand for services is a problem in many areas of healthcare, including specialist medical outpatient clinics

  • Delayed access to specialist medical outpatient clinics is a serious problem [20]. This project aims to determine whether an evidence-based model of access, Specific Timely Appointments for Triage (STAT), that reduced waiting time in community outpatient services [6] can be successfully applied to a specialist medical outpatient clinic serving patients with epilepsy to achieve reduced wait time

  • This study will add to the evidence about reducing wait times by finding out if the STAT model of access and triage, previously shown to reduce wait times by 34% in community outpatients [6], can deliver similar results in a specialist medical outpatient clinic

Read more

Summary

Introduction

Managing demand for services is a problem in many areas of healthcare, including specialist medical outpatient clinics. Specialist medical outpatient clinics can have very long wait lists, sometimes up to several years, and some lower priority patients may never receive an appointment [8] These long waiting times have implications for patient safety with potential risk of deterioration, anxiety and avoidable attendances to the emergency department [8,9,10,11]. Growing demand and waitlists can appear overwhelming, but the problem should not be seen as intractable [14] It is a common observation in health services that many waiting lists are relatively stable over time, indicating that supply and demand are well balanced, but an entrenched backlog of waiting patients leads to constant delays in care [7, 15]

Objectives
Methods
Findings
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call